Semantic integration has been a long-standing challenge for the database community. It has
received steady attention over the past two decades, and has now become a prominent area …

Creating semantic matches between disparate data sources is fundamental to numerous
data sharing efforts. Manually creating matches is extremely tedious and error-prone. Hence …

Schema matching is a critical problem for integrating heterogeneous information sources.
Traditionally, the problem of matching multiple schemas has essentially relied on finding …

To enable information integration, schema matching is a critical step for discovering
semantic correspondences of attributes across heterogeneous sources. While complex …

To enable information integration, schema matching is a critical step for discovering
semantic correspondences of attributes across heterogeneous sources. While complex …

The immense scale and wide spread has rendered the Web as an ultimate information
repository–as not only the sources where we find but also the destinations where we publish …

This dissertation studies representation matching: the problem of creating semantic
mappings between two data representations. Examples of data representations are …

Besides the scientific paradigms of empiricism, mathematical modelling, and simulation, the
method of combining and analysing data in novel ways has become a main research …

The Web has been rapidly" deepened" by myriad searchable databases online, where data
are hidden behind query interfaces. As an essential task toward integrating these massive" …

A key aspect of any data integration endeavor is determining the relationships between the
source schemata and the target schema. This schema integration task must be tackled …